Where can AI improve performance?
Find high-friction research, analysis, production, coordination and decision workflows.
AI-enabled growth operations
Turn AI experimentation into operating leverage.
I help B2B growth teams identify where AI matters, redesign the workflow, build enough of the system to prove it and lead adoption without sacrificing judgment, governance or revenue accountability.
Five executive questions
Start with the work, not the tool.
The useful question is not where a team can add AI. It is where better context, faster synthesis, reusable judgment or controlled automation can improve a consequential decision.
What must be redesigned first?
Do not automate a broken process, missing definition or unclear decision right.
What context must the system know?
Ground work in buyers, company truth, product facts, brand standards and commercial evidence.
Where is human judgment mandatory?
Preserve approval for claims, participation, publishing, spend and customer communication.
How will value be measured?
Measure cycle time, quality, team capacity, decision accuracy, pipeline and revenue outcomes.
How will the organization learn?
Capture editor changes, decisions, exceptions, experiment results and downstream outcomes.
What I build
Strategy with implementation range.
Connected intelligence
MCPs and governed connectors for Reddit, Gong, sales and CS communications, company content, competitors, paid media, CRM and revenue.
Organizational knowledge
Vectorized, client-isolated knowledge systems that make product, positioning, content, claims, proof and past decisions retrievable.
Adaptive content workflows
Deep research, buyer language, brand alignment, editor-learning feedback and action-oriented content production.
Decision and activation workflows
Prioritized recommendations, human approvals, audit trails and controlled activation across acquisition and lifecycle.
Leadership standard
The system should make the team better.
- Augment judgment
Give people better evidence and remove low-value repetition.
- Make learning reusable
Preserve why decisions and edits were made.
- Protect trust
Design permissions, provenance and review into the workflow.
- Expose economics
Track cost, cycle time and downstream business value.
- Build adoption
Align roles, training, incentives and operating cadence.
- Govern outcomes
Keep revenue central without manufacturing causal certainty.